Dr Jianfeng Huang

Data Scientist

Digital Factory

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Publications

A position-aware transformer for image captioning
Deng Zelin, Zhou Bo, He Pei, Huang Jianfeng, Alfarraj Osama, Tolba Amr
Computers, Materials and Continua Vol 70, pp. 2005-2021 (2021)
https://doi.org/10.32604/cmc.2022.019328
Cross-scale analysis of nickel Superalloy fatigue using Markov state model-molecular dynamics method
Huang Jianfeng, McGlinchey Don, Chen Yi, McMahon Daniel
Materials and Design Vol 197 (2021)
https://doi.org/10.1016/j.matdes.2020.109226

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Projects

AFRC_CATP_1684_High Accuracy FutureForge Training System
Liang, Sha (Principal Investigator) Khatuntseva, Anastasia (Researcher) Huang, Jianfeng (Researcher) Munawar, Syed Awais (Researcher)
This proposal will aim to address the challenge of training operators of dangerous equipment following the previous simulator. This proposal looks to streamline the learning process by allowing operators to train on the equipment using the same controls that they will be using to operate it when they are performing forging operations. Specifically, within the forging sector, this proposal will also address the challenge of transferring tacit knowledge that is built up through years of experience in using the equipment. This will be done by allowing new operators to log hundreds of hours of training time, which can be led by a standard pre-programmed curriculum or by an expert supervisor.
01-Jan-2020 - 31-Jan-2021
AFRC-CRAD-930-Augmented Worker
Duncan, William (Principal Investigator) Huang, Jianfeng (Researcher) McMahon, Daniel (Co-investigator)
Innovate UK aims to stimulate innovation in infrastructure systems. As part of the Infrastructure Systems Round 2 competition, the Augmented WorkEr (AWE) was funded in response to the 'smart' infrastructure strand, focusing on the use of Augmented Reality within Modern Methods of Construction (MMC). Although not funded under the Industrial Strategy Challenge Fund (ISCF) Transforming Construction call, the project aligned with the following core themes:

• Digital information management, tools, systems and standards.
• Modern methods of construction and platform-based approaches.
• Whole-life asset performance, including active buildings.

The AWE System was conceived to support the intelligent design and build of pre-fabricated components within an off-site manufacturing strategy, whilst also improving the whole-life value of built assets. The implementation of a wearable augmented solution, would enable assembly information to be presented in context and just in time. Supported by a series of backend handling applications, the project would demonstrate how cutting-edge technology could be made enterprise ready by creating a pipeline from enterprise ERP / PLM, through to the end user (operator) experience.

The primary goals of the project were to demonstrate how the use of Augmented Reality technology could:

• Help projects to be delivered on time and within budget through a right first-time culture, delivering not only the performance gains in the assembly manufacturing process, but also a substantial reduction in rework and waste.
• Improve cross team collaboration, in particular from design to manufacture, to help drive product quality and provide more accurate and complete asset information for full life cycle and cradle to grave usage.
• Create a more informed operator who is better trained on both the tools and the components being worked on, whilst also fully abreast of the specific Health and Safety requirements of any operation.

The project goals were underpinned by a drive for improved efficiency and productivity that is not unique to the construction sector, and is applicable to other sectors such as transport, energy, manufacturing and medical. Although AWE was tested for modular off-site construction, it was important that it was built in such a way that it could be easily applied to the wider construction industry, as well as to the other sectors listed above. As such the primary goal of the AWE project was to respond to the need of the UK construction sector (and others) to enable and better help them compete in a global market.
01-Jan-2019 - 01-Jan-2022

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Contact

Dr Jianfeng Huang
Data Scientist
Digital Factory

Email: jianfeng.huang@strath.ac.uk
Tel: Unlisted